TY - GEN
T1 - ALE Method for a Rotating Structure Immersed in the Fluid and Its Application to the Artificial Heart Pump in Hemodynamics
AU - Sun, Pengtao
AU - Leng, Wei
AU - Zhang, Chen Song
AU - Lan, Rihui
AU - Xu, Jinchao
N1 - Generated from Scopus record by KAUST IRTS on 2023-02-15
PY - 2018/1/1
Y1 - 2018/1/1
N2 - In this paper, we study a dynamic fluid-structure interaction (FSI) problem involving a rotational elastic turbine, which is modeled by the incompressible fluid model in the fluid domain with the arbitrary Lagrangian-Eulerian (ALE) description and by the St. Venant-Kirchhoff structure model in the structure domain with the Lagrangian description, and the application to a hemodynamic FSI problem involving an artificial heart pump with a rotating rotor. A linearized rotational and deformable structure model is developed for the rotating rotor and a monolithic mixed ALE finite element method is developed for the hemodynamic FSI system. Numerical simulations are carried out for a hemodynamic FSI model with an artificial heart pump, and are validated by comparing with a commercial CFD package for a simplified artificial heart pump.
AB - In this paper, we study a dynamic fluid-structure interaction (FSI) problem involving a rotational elastic turbine, which is modeled by the incompressible fluid model in the fluid domain with the arbitrary Lagrangian-Eulerian (ALE) description and by the St. Venant-Kirchhoff structure model in the structure domain with the Lagrangian description, and the application to a hemodynamic FSI problem involving an artificial heart pump with a rotating rotor. A linearized rotational and deformable structure model is developed for the rotating rotor and a monolithic mixed ALE finite element method is developed for the hemodynamic FSI system. Numerical simulations are carried out for a hemodynamic FSI model with an artificial heart pump, and are validated by comparing with a commercial CFD package for a simplified artificial heart pump.
UR - https://link.springer.com/10.1007/978-3-319-93713-7_1
UR - http://www.scopus.com/inward/record.url?scp=85049043200&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-93713-7_1
DO - 10.1007/978-3-319-93713-7_1
M3 - Conference contribution
SN - 9783319937120
SP - 9
EP - 23
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer [email protected]
ER -